MVS

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Multi-View Stereo based on deep learning. | Learning notes, codes and more.

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# MVS
> Multi-View Stereo based on deep learning

## 📃论文列表

✨[MVS系列核心创新点 & 缺陷](https://github.com/doubleZ0108/MVS/blob/master/paper-summary.md)

| | 简称/笔记 | 论文题目 | 出处(年份) | 原文 代码| 推荐值 |
| :--: | :-------------------: | ------------------ | -------------- | ---------- | :----: |
| 1 | [MVSNet](https://github.com/doubleZ0108/MVS/blob/master/Paper-Reading/MVSNet.md) | MVSNet: Depth Inference for Unstructured Multi-view Stereo | ECCV 2018 | [paper](https://openaccess.thecvf.com/content_ECCV_2018/html/Yao_Yao_MVSNet_Depth_Inference_ECCV_2018_paper.html) [code](https://github.com/YoYo000/MVSNet) | ★★★★★ |
| 2 | [R-MVSNet](https://github.com/doubleZ0108/MVS/blob/master/Paper-Reading/R-MVSNet.md) | Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference | CVPR 2019 | [paper](https://openaccess.thecvf.com/content_CVPR_2019/html/Yao_Recurrent_MVSNet_for_High-Resolution_Multi-View_Stereo_Depth_Inference_CVPR_2019_paper.html) [code](https://github.com/YoYo000/MVSNet) | ★★★ |
| 3 | [Point-MVSNet](https://github.com/doubleZ0108/MVS/blob/master/Paper-Reading/PointMVSNet.md) | Point-based multi-view stereo network | ICCV 2019 oral | [paper](https://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Point-Based_Multi-View_Stereo_Network_ICCV_2019_paper.html) [code](https://github.com/callmeray/PointMVSNet) | ★★★★ |
| 4 | [P-MVSNet](https://github.com/doubleZ0108/MVS/blob/master/Paper-Reading/P-MVSNet.md) | P-MVSNet: Learning Patch-wise Matching Confidence Aggregation for Multi-View Stereo | ICCV 2019 | [paper](https://openaccess.thecvf.com/content_ICCV_2019/html/Luo_P-MVSNet_Learning_Patch-Wise_Matching_Confidence_Aggregation_for_Multi-View_Stereo_ICCV_2019_paper.html) | ★ |
| 5 | [CVP-MVSNet](https://github.com/doubleZ0108/MVS/blob/master/Paper-Reading/CVP-MVSNet.md) | Cost Volume Pyramid Based Depth Inference for Multi-View Stereo | CVPR 2020 oral | [paper](https://openaccess.thecvf.com/content_CVPR_2020/html/Yang_Cost_Volume_Pyramid_Based_Depth_Inference_for_Multi-View_Stereo_CVPR_2020_paper.html) [code](https://github.com/JiayuYANG/CVP-MVSNet) | ★★★★★ |
| 6 | [RayNet](https://github.com/doubleZ0108/MVS/blob/master/Paper-Reading/RayNet.md) | RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials | CVPR 2018 oral | [paper](https://openaccess.thecvf.com/content_cvpr_2018/html/Paschalidou_RayNet_Learning_Volumetric_CVPR_2018_paper.html) [code](https://github.com/paschalidoud/raynet) | ★★★☆ |
| 7 | [AttMVSNet](https://github.com/doubleZ0108/MVS/blob/master/Paper-Reading/AttMVSNet.md) | Attention-Aware Multi-View Stereo | CVPR 2020 | [paper](https://openaccess.thecvf.com/content_CVPR_2020/html/Luo_Attention-Aware_Multi-View_Stereo_CVPR_2020_paper.html) | ★☆ |
| 8 | [CasMVSNet](https://github.com/doubleZ0108/MVS/blob/master/Paper-Reading/CasMVSNet.md) | Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching | CVPR 2020 oral | [paper](https://openaccess.thecvf.com/content_CVPR_2020/html/Gu_Cascade_Cost_Volume_for_High-Resolution_Multi-View_Stereo_and_Stereo_Matching_CVPR_2020_paper.html) [code](https://github.com/alibaba/cascade-stereo) | ★★★★★ |
| 9 | [PatchmatchNet](https://github.com/doubleZ0108/MVS/blob/master/Paper-Reading/PatchmatchNet.md) | PatchmatchNet: Learned Multi-View Patchmatch Stereo | CVPR 2021 oral | [paper](https://openaccess.thecvf.com/content/CVPR2021/html/Wang_PatchmatchNet_Learned_Multi-View_Patchmatch_Stereo_CVPR_2021_paper.html) [code](https://github.com/FangjinhuaWang/PatchmatchNet) | ★★★☆ |
| 10 | MVSCRF | MVSCRF: Learning Multi-View Stereo With Conditional Random Fields | ICCV 2019 | [paper](https://openaccess.thecvf.com/content_ICCV_2019/html/Xue_MVSCRF_Learning_Multi-View_Stereo_With_Conditional_Random_Fields_ICCV_2019_paper.html) | ★★☆ |
| 11 | PVA-MVSNet | Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation | ECCV 2020 | [paper](https://link.springer.com/chapter/10.1007/978-3-030-58545-7_44) [code](https://github.com/yhw-yhw/PVAMVSNet) | ★★★ |
| 12 | FastMVSNet | Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement | CVPR 2020 | [paper](https://openaccess.thecvf.com/content_CVPR_2020/html/Yu_Fast-MVSNet_Sparse-to-Dense_Multi-View_Stereo_With_Learned_Propagation_and_Gauss-Newton_Refinement_CVPR_2020_paper.html) [code](https://github.com/svip-lab/FastMVSNet) | ★★☆ |
| 13 | UCSNet | Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness | CVPR 2020 oral | [paper](https://openaccess.thecvf.com/content_CVPR_2020/html/Cheng_Deep_Stereo_Using_Adaptive_Thin_Volume_Representation_With_Uncertainty_Awareness_CVPR_2020_paper.html) [code](https://github.com/touristCheng/UCSNet) | ★★★★☆ |
| 14 | MVSNet++ | MVSNet++: Learning Depth-Based Attention Pyramid Features for Multi-View Stereo | TIP 2020 | [paper](https://ieeexplore.ieee.org/abstract/document/9115828/) | ★☆ |
| 15 | SurfaceNet+ | SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-View Stereopsis | TPAMI 2021 | [paper](https://ieeexplore.ieee.org/abstract/document/9099504/?casa_token=N_l8LSwIxYIAAAAA:B7rrDKLWfoqKj_G17Hp8D-Xy0csz0vXJVPC77FSgQXyImmdPv90_RB08SRgOWnTW16oACdcQvFkp) [code](https://github.com/mjiUST/SurfaceNet-plus) | ★☆ |
| 16 | Vis-MVSNet | Visibility-aware Multi-view Stereo Network | BMVC 2020 best paper | [paper](https://arxiv.org/abs/2008.07928) [code](https://github.com/jzhangbs/Vis-MVSNet) | ★★★★ |
| 17 | PVSNet | PVSNet: Pixelwise Visibility-Aware Multi-View Stereo Network. | CVPR 2020 | [paper](https://arxiv.org/abs/2007.07714) | ★★★★☆ |
| 18 | D2HC-RMVSNet | Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking | ECCV 2020 | [paper](https://link.springer.com/chapter/10.1007/978-3-030-58548-8_39) [code](https://github.com/yhw-yhw/D2HC-RMVSNet) | ★★★ |
| 19 | BP-MVSNet | BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo | 3DV 2020 | [paper](https://ieeexplore.ieee.org/abstract/document/9320334) | ★☆ |
| 20 | TransMVSNet | TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers | CVPR 2022 | [paper](https://arxiv.org/abs/2111.14600) [code](https://github.com/MegviiRobot/TransMVSNet) | ★★★☆ |
| 21 | GBi-Net | Generalized Binary Search Network for Highly-Efficient Multi-View Stereo | CVPR 2022 | [paper](https://arxiv.org/abs/2112.02338) [code](https://github.com/MiZhenxing/GBi-Net) | ★★★★★ |
| 22 | IterMVS | IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo | CVPR 2022 | [paper](https://arxiv.org/abs/2112.05126) [code](https://github.com/FangjinhuaWang/IterMVS) | ★★☆ |
| 23 | CIDER | Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume | CVPR 2019 | [paper](https://ojs.aaai.org/index.php/AAAI/article/view/6939) [code](https://github.com/GhiXu/CIDER) | ★★★ |
| 24 | UniMVSNet | Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation and Focal Loss | CVPR 2022 | [paper](https://arxiv.org/abs/2201.01501) [code](https://github.com/prstrive/UniMVSNet) | ★★★★ |
| 25 | AA-RMVSNet | AA-RMVSNet: Adaptive Aggregation Recurrent Multi-View Stereo Network | ICCV 2021 | [paper](https://openaccess.thecvf.com/content/ICCV2021/html/Wei_AA-RMVSNet_Adaptive_Aggregation_Recurrent_Multi-View_Stereo_Network_ICCV_2021_paper.html) [code](https://github.com/QT-Zhu/AA-RMVSNet) | ★★★ |
| 26 | MVSTER | MVSTER: Epipolar Transformer for Efficient Multi-View Stereo | ECCV 2022 | [paper](https://link.springer.com/chapter/10.1007/978-3-031-19821-2_33) [code](https://github.com/JeffWang987/MVSTER) | ★★★☆ |
| 27 | EPP-MVSNet | EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo | CVPR 2022 | [paper](https://openaccess.thecvf.com/content/ICCV2021/html/Ma_EPP-MVSNet_Epipolar-Assembling_Based_Depth_Prediction_for_Multi-View_Stereo_ICCV_2021_paper.html) [code](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/eppmvsnet) | ★★★ |
| 28 | CDS-MVSNet | Curvature-guided dynamic scale networks for Multi-view Stereo | ICLR 2022 | [paper](https://arxiv.org/abs/2112.05999) [code](https://github.com/TruongKhang/cds-mvsnet) | ★★★ |
| 29 | LANet | Long-range Attention Network for Multi-View Stereo | WACV 2021 | [paper](https://openaccess.thecvf.com/content/WACV2021/html/Zhang_Long-Range_Attention_Network_for_Multi-View_Stereo_WACV_2021_paper.html) | ★★☆ |
| 30 | ACMMP | Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo | TPAMI 2022 | [paper](https://ieeexplore.ieee.org/abstract/document/9863705) [code](https://github.com/GhiXu/ACMMP) | ★★★★★ |
| 31 | CER-MVS | Multiview Stereo with Cascaded Epipolar RAFT | ECCV 2022 | [paper](https://link.springer.com/chapter/10.1007/978-3-031-19821-2_42) [code](https://github.com/princeton-vl/CER-MVS) | ★★ |
| 32 | NP-CVP-MVSNet | Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo | CVPR 2022 | [paper](https://openaccess.thecvf.com/content/CVPR2022/html/Yang_Non-Parametric_Depth_Distribution_Modelling_Based_Depth_Inference_for_Multi-View_Stereo_CVPR_2022_paper.html) [code](https://github.com/NVlabs/NP-CVP-MVSNet) | ★★★★☆ |
| 33 | GigaMVS | GigaMVS: A Benchmark for Ultra-large-scale Gigapixel-level 3D Reconstruction | TPAMI 2021 | [paper](https://ieeexplore.ieee.org/abstract/document/9547729) [code](https://github.com/THU-luvision/GigaMVS) | ★★★★ |
| 34 | RayMVSNet | RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo | CVPR 2022 | [paper](https://openaccess.thecvf.com/content/CVPR2022/html/Xi_RayMVSNet_Learning_Ray-Based_1D_Implicit_Fields_for_Accurate_Multi-View_Stereo_CVPR_2022_paper.html) | ★★★☆ |
| 35 | Effi-MVS | Efficient Multi-view Stereo by Iterative Dynamic Cost Volume | CVPR 2022 | [paper](https://openaccess.thecvf.com/content/CVPR2022/html/Wang_Efficient_Multi-View_Stereo_by_Iterative_Dynamic_Cost_Volume_CVPR_2022_paper.html) [code](https://github.com/bdwsq1996/Effi-MVS) | ★★★ |

## ✒️基本概念

- [对极几何 | Epipolar Geometry](https://github.com/doubleZ0108/MVS/blob/master/Notes/Epipolar.md)
- [单应变换 | Homography](https://github.com/doubleZ0108/MVS/blob/master/Notes/Homography.md)
- [平面扫描 | Plan Sweeping](https://github.com/doubleZ0108/MVS/blob/master/Notes/Plan-Sweepinng.md)
- [立体几何匹配 | Stereo Matching](https://github.com/doubleZ0108/MVS/blob/master/Notes/Stereo-Matching.md)
- [深度图像 | RGB-D](https://github.com/doubleZ0108/MVS/blob/master/Notes/RGBD.md)

## 🔬项目/代码

- fusibile深度图融合点云 [![fusibile env setup](https://img.shields.io/badge/🧪_环境配置-fusibile-yellow)](https://github.com/doubleZ0108/MVS/blob/master/fusibile/setup.md)
- DTU定量测试 [![DTU evaluation env setup](https://img.shields.io/badge/🧪_环境配置-DTU--Evaluation-yellow)](https://github.com/doubleZ0108/MVS/blob/master/Evaluation/setup.md)
- MVSNet [![MVSNet env setup](https://img.shields.io/badge/🧪_环境配置-MVSNet-yellow)](https://github.com/doubleZ0108/MVS/blob/master/MVSNet/setup.md) [![MVSNet code doc](https://img.shields.io/badge/🔨_代码笔记-MVSNet-9cf)](https://github.com/doubleZ0108/MVS/blob/master/MVSNet/code.md)
- MVSNet_pl [![MVSNet_pl env setup](https://img.shields.io/badge/🧪_环境配置-MVSNet__pl-yellow)](https://github.com/doubleZ0108/MVS/blob/master/MVSNet_pl/setup.md) [![MVSNet_pl code doc](https://img.shields.io/badge/🔨_代码笔记-MVSNet__pl-9cf)](https://github.com/doubleZ0108/MVS/blob/master/MVSNet_pl/code.md)
- PointMVSNet [![PointMVSNet env setup](https://img.shields.io/badge/🧪_环境配置-PointMVSNet-yellow)](https://github.com/doubleZ0108/MVS/blob/master/PointMVSNet/setup.md)
- CVP-MVSNet [![CVP-MVSNet env setup](https://img.shields.io/badge/🧪_环境配置-CVP__MVSNet-yellow)](https://github.com/doubleZ0108/MVS/blob/master/CVP-MVSNet/setup.md) [![CVP-MVSNet code doc](https://img.shields.io/badge/🔨_代码笔记-CVP__MVSNet-9cf)](https://github.com/doubleZ0108/MVS/blob/master/CVP-MVSNet/code.md)
- CasMVSNet [![CasMVSNet code doc](https://img.shields.io/badge/🔨_代码笔记-CasMVSNet-9cf)](https://github.com/doubleZ0108/MVS/blob/master/CasMVSNet/code.md)

MVS

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